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The New Era of Hybridisation and Learning in Heuristic Search Design

Salhi, Said and Thompson, Jonathan (2022) The New Era of Hybridisation and Learning in Heuristic Search Design. In: The Palgrave Handbook of Operations Research. Palgrave Macmillan, pp. 501-538. E-ISBN 978-3-030-96935-6. (doi:10.1007/978-3-030-96935-6_15) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:96238)

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Abstract

Abstract This chapter aims to extend on the overview of heuristic and metaheuristics described in chapter [51] by focussing on the new developments related to hybridisation and learning when designing an effective heuristic, metaheuristic, or machine learning technique. This will include a wider discussion on hybridisation, deep learning and a brief on machine learning and big data. Some of the mechanisms that enhance their implementation by turning these heuristic-based techniques into powerful, efficient and practical optimisation/statistical tools are discussed. This is attributed to the incorporation of speed-up mechanisms that can be inspired from data structure, neighbourhood reduction, cost function approximation, parallelisation among others. The chapter also provides a highlight of potential research avenues that can be worth exploring.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-030-96935-6_15
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Said Salhi
Date Deposited: 16 Aug 2022 11:46 UTC
Last Modified: 06 Nov 2023 12:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/96238 (The current URI for this page, for reference purposes)

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